# CashPilot

> Use this tool when you need to manage and monitor multiple passive income services from a single interface, solving problems of fragmented service management and optimizing earnings across various categories. CashPilot takes in admin API keys and provides outputs such as earnings summaries, worker status, and health scores. It is ideal for use cases where centralized control and automation of bandwidth sharing, DePIN, storage, and GPU compute services are required.

Canonical page: https://skillsregistry.net/skills/cashpilot  
JSON: https://api.skillsregistry.net/v1/skills/cashpilot

## Description

CashPilot provides a unified interface for managing passive income services across bandwidth sharing, DePIN, storage, and GPU compute categories. The server exposes earnings summaries, fleet worker status, health scores, and collector alerts as readable resources, while offering tools to start, stop, restart, and deploy services, query historical earnings, retrieve logs, and trigger collection runs. Supports both HTTP and stdio transport modes with admin API key authentication.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cashpilot)
- **Repository:** <https://github.com/geiserx/cashpilot-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cashpilot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cashpilot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cashpilot/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt